Metadata
Creators:
- Kujawski, Adam
, Technische Universität Berlin
- Pelling, Art J. R.
, Technische Universität Berlin
- Sarradj, Ennes
, Technische Universität Berlin
Publishers:
Rightsholders:
Keywords:
- SRIRs
- Microphone array
- Anechoic
- Sound-source localization
- Sound-field reconstruction
Relations:
- MIRACLE is version of 10.14279/depositonce-20837 (DOI).
- MIRACLE is published in 10.1186/s13636-024-00352-8 (DOI).
Other:
- DOI: not assigned yet
- Uploaded by: Art J. R. Pelling
- Date (created): 2026-09-22 10:39:22 (GMT)
- Date (updated): 2026-09-23 17:14:32 (GMT)
- Production Year: 2023
- Resource Type: Dataset (SONICOM Ecosystem)
- Rights: CC BY-NC-SA 4.0 Attribution- NonCommercial-ShareAlike
- Subject Areas: Life Science , Other SONICOM Ecosystem
- General Description: The dataset contains room impulse responses from a source plane to a microphone array at different distances measured in the anechoic chamber. Supplies four different scenarios, totalling 856,128 impulse responses.
- Abstract: This work presents a large dataset of measured impulse responses of spatially distributed sources in a plane parallel to a planar microphone array in an anechoic environment. It can be used for various acoustic machine learning tasks and as a benchmark for data-driven modelling and interpolation methods.
The dataset, which we call MIRACLE, contains a total of 856,128 single-channel impulse responses across four different measurement scenarios. A regular grid of 64 × 64 source locations was sampled for two different source plane to array distances. The dataset also contains measurements on a densely sampled 33 × 33 grid for the short distance, as well as measurements with the presence of a reflective panel for the longer distance. We assess the quality of the provided source location labels and provide directivity measurements of the loudspeaker used for excitation. - Data Source: acoustically measured
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Uploaded by: Art J. R. Pelling
Created: 2026-09-22 10:39:22
Updated: 2026-09-23 17:14:32